Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1371/journal.pone.0173765 |
| Titel (primär) | Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters |
| Autor | Shang, Y.; Sikorski, J.; Bonkowski, M.; Fiore-Donno, A.-M.; Kandeler, E.; Marhan, S.; Boeddinghaus, R.S.; Solly, E.F.; Schrumpf, M.; Schöning, I.; Wubet, T.
; Buscot, F.; Overmann, J. |
| Quelle | PLOS ONE |
| Erscheinungsjahr | 2017 |
| Department | BOOEK; iDiv |
| Band/Volume | 12 |
| Heft | 3 |
| Seite von | e0173765 |
| Sprache | englisch |
| UFZ Querschnittsthemen | RU1 |
| Abstract | Interactions occur between two or more organisms affecting each other. Interactions are decisive for the ecology of the organisms. Without direct experimental evidence the analysis of interactions is difficult. Correlation analyses that are based on co-occurrences are often used to approximate interaction. Here, we present a new mathematical model to estimate the interaction strengths between taxa, based on changes in their relative abundances across environmental gradients. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18581 |
| Shang, Y., Sikorski, J., Bonkowski, M., Fiore-Donno, A.-M., Kandeler, E., Marhan, S., Boeddinghaus, R.S., Solly, E.F., Schrumpf, M., Schöning, I., Wubet, T., Buscot, F., Overmann, J. (2017): Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters PLOS One 12 (3), e0173765 10.1371/journal.pone.0173765 |
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